Vision, Sensing and Analytics: Integrative Approaches

Md Atiqur Rahman Ahad

ISBN 10: 3030754928 / ISBN 13: 9783030754921

Published by Springer, Springer Jun 2022, 2022

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -This book serves as the first guideline of the integrative approach, optimal for our new and young generations. Recent technology advancements in computer vision, IoT sensors, and analytics open the door to highly impactful innovations and applications as a result of effective and efficient integration of those. Such integration has brought to scientists and engineers a new approach -the integrative approach. This offers far more rapid development and scalable architecting when comparing to the traditional hardcore developmental approach.Featuring biomedical and healthcare challenges including COVID-19, we present a collection of carefully selective cases with significant added- values as a result of integrations, e.g., sensing with AI, analytics with different data sources, and comprehensive monitoring with many different sensors, while sustaining its readability.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 424 pp. Englisch.

Seller Inventory # 9783030754921

Bibliographic Details

• Title: Vision, Sensing and Analytics: Integrative Approaches
• Publisher: Springer, Springer Jun 2022
• Publication Date: 2022
• Language: English
• ISBN 10: 3030754928
• ISBN 13: 9783030754921
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 23D millimeters 235 millimeters width by 155 millimeters height by 23 millimeters depth
• Weight: 639 grams

About this title

Synopsis

This book serves as the first guideline of the integrative approach, optimal for our new and young generations. Recent technology advancements in computer vision, IoT sensors, and analytics open the door to highly impactful innovations and applications as a result of effective and efficient integration of those. Such integration has brought to scientists and engineers a new approach —the integrative approach. This offers far more rapid development and scalable architecting when comparing to the traditional hardcore developmental approach.

Featuring biomedical and healthcare challenges including COVID-19, we present a collection of carefully selective cases with significant added- values as a result of integrations, e.g., sensing with AI, analytics with different data sources, and comprehensive monitoring with many different sensors, while sustaining its readability.